Measuring diagnoses: ICD code accuracy.
Objective. To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. Data Sources/Study Setting. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical...
| Publicado en: | Health Services Research Vol. 40; no. 5P2; pp. 1620 - 1640 |
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| Autores principales: | , , , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106190470&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106190470 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00179124 HSR jtl: Health Services Research issn: 00179124 maglogo: Y pubinfo: dt: Oct2005 vid: 40 iid: 5P2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 106190470 2009690938 10.1111/j.1475-6773.2005.00444.x NLM16178999 106190470 ppf: 1620 ppct: 20 formats: tig: atl: Measuring diagnoses: ICD code accuracy. aug: au: O'Malley KJ Cook KF Price MD Wildes KR Hurdle JF Ashton CM affil: Pearson Educational Measurement, 2201 Donley Drive, Suite 195, Austin, TX 78758 sug: subj: Data Collection Methods Health Services Research Methods International Classification of Diseases Coding Diagnostic Errors Disease Classification Reproducibility of Results ab: Objective. To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. Data Sources/Study Setting. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. Study Design/Methods. We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Principle Findings. Main error sources along the âpatient trajectoryâ include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the âpaper trailâ include variance in the electronic and written records, coder training and experience, facility quality-control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. Conclusions. By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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